The technology that helps to improve customer experience through personalized recommendations is machine learning (ML). ML algorithms analyze customers' past behaviors, preferences, and interactions to predict and suggest products or services that align with their interests. By leveraging techniques like collaborative filtering and content-based filtering, businesses can provide tailored experiences that enhance customer satisfaction and encourage repeat visits. Personalized recommendations, used in e-commerce, streaming services, and online platforms, contribute to increased engagement and higher conversion rates.